MORALES RODRIGUEZ, MARIA LUCILA
MATEMÁTICAS · Nivel 1
Desde 1996 es en Instituto Tecnológico de Ciudad Madero
María Lucila Morales-Rodríguez is PHD in Artificial Intelligence graduated from Paul Sabatier University (Toulouse, France). She is Computer Science Professor...
María Lucila Morales-Rodríguez is PHD in Artificial Intelligence graduated from Paul Sabatier University (Toulouse, France). She is Computer Science Professor at TecNM/Instituto Tecnológico de Ciudad Madero (Ciudad Madero, México). She has an interest in research areas like Decision Making, Machine Learning and Intelligent Virtual Agents. In particular, she seeks to create credible characters by modeling the verbal and nonverbal behavior of socio-emotional agents applying multidisciplinary approaches. For this, she incorporates preferential and personality models to influence the decision-making process and the expression of their behavior with the aim of using these characters as affective interfaces and thus improving human-computer interaction.
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| Nombre | MARIA LUCILA MORALES RODRIGUEZ |
|---|---|
| Área | INTERDISCIPLINARIA |
| Campo | MATEMÁTICAS |
| Disciplina | CIENCIA DE LOS ORDENADORES |
| Especialidad | INTELIGENCIA ARTIFICIAL |
| CVU | 211781 |
| Institución | |
|---|---|
| Tipo de institución | Pública |
| Dependencia | INSTITUTO TECNOLOGICO DE CIUDAD MADERO |
| Entidad | TAMAULIPAS |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2024 |
| Fin: 31/12/2029 |
Evolución en el SNII
- Candidato: 2009–2012
- Nivel I: 2024–2026
Publicaciones ORCID
- 2026
- Performance Analysis of Web Microservices with Technological Convergence between REST and GraphQL API Architectures International Journal of Combinatorial Optimization Problems and Informatics
- A Belief Model for BDI Agents Derived from Roles and Personality Traits Mathematical and Computational Applications
- Study of Performance from Hierarchical Decision Modeling in IVAs Within a Greedy Context Mathematical and Computational Applications
- Optimizing Electric Vehicle Routes: A Hybrid Approach of Genetic Algorithm with Q-Learning
- 2025
- Multi-Agent Architecture for Parameter Configuration in Computational Chemistry International Journal of Combinatorial Optimization Problems and Informatics
- 2024
- Analysis of Accuracy on Data Visualization Techniques for Multi-objective Algorithm Performance Based on Convergence and Diversity Towards the Pareto Frontier
- 2023
- Evaluation of Scenedesmus dimorphus under Different Photoperiods with Eutrophicated Lagoon Water Resources
- Performance Analysis of Multi-Objective Simulated Annealing Based on Decomposition Mathematical and Computational Applications
- 2022
- Modeling Preferences through Personality and Satisfaction to Guide the Decision Making of a Virtual Agent Axioms
- Grasp/ [[Equation]]: An Efficient Algorithm for the Multi-Objective Portfolio Optimization Problem